Evidence map›Paper›PMID 29202726›Full record

ArticleBMC pregnancy and childbirth2017

Large reductions in cesarean delivery rates in China: a qualitative study on delivery decision-making in the era of the two-child policy.

Eileen Wang, Therese Hesketh

Abstract read
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Article in BMC pregnancy and childbirth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

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20citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Eileen WangInstitute for Global Health, School of Public Health, Zhejiang University, 866 Yuhangtang Lu, Hangzhou, 310058, China.
Therese HeskethInstitute for Global Health, School of Public Health, Zhejiang University, 866 Yuhangtang Lu, Hangzhou, 310058, China. t.hesketh@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2010, China's cesarean delivery (CD) rates increased to one of the highest in the world, a significant proportion of which were without medical indication. However, recent studies have indicated some declines, coinciding with national and local efforts to promote vaginal birth, as well as the relaxation of the one-child policy. Considering these trends, we aimed to qualitatively explore attitudes towards childbirth and experiences of delivery decision-making among women and physicians.

methodsSemi-structured interviews were conducted with 45 postpartum women and 7 healthcare providers at one county-level and one provincial-level maternity hospital in Zhejiang Province. We also collected routine data from 2007 to 2016 and observed doctor-patient interactions and hospital facilities as context for the interviews. Interviews were recorded, translated and transcribed into English, and then analyzed using a framework approach.

resultsFrom 2007 to 2016, cesarean delivery rates at the county-level and provincial-level hospital decreased from 46% to 32% and 68% to 44%, respectively. For low-risk women, vaginal birth was the primary choice of delivery method, encouraged by doctors and nurse-midwives. Elective CD was not as widely accepted, in contrast to previous years. Women were aware of and took into consideration the consequences of CD for future pregnancies. Among those who delivered vaginally, women viewed the existing pain relief methods, epidurals and transcutaneous electrical nerve stimulation, with caution or uncertainty. Even when requested, epidurals were only given under certain circumstances. For multiparas with previous CD, repeat CD remains the norm. Both women and professionals were cautious about vaginal birth after cesarean delivery (VBAC) given the associated risks.

conclusionIn China, changes in family planning policy and efforts to promote vaginal birth have greatly changed the culture of delivery decision-making, leading to decreased CD rates. This demonstrates the powerful role social factors and public policy can play, and provides a model for other countries with high CD rates. Further research should explore changes in other reproductive decisions during this new multiparous era, particularly across provinces.

Indexed as

Choice BehaviorDecision MakingFamily CharacteristicsFamily Planning PolicyAdultCesarean SectionChinaDelivery, ObstetricFemaleHumansMiddle AgedParturitionPregnancyQualitative ResearchYoung AdultCesarean deliveryChinaDelivery decision-makingTwo-child policy

Identifiers

PMID29202726
PMCPMC5716234

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.